This article reports on a study that examined the relationship between language learners' L2 grit and language mindsets and their attitudes toward CALL. The participants of the study were 625 EFL learners (male = 165, 26.4%; female = 460, 73.6%) with the mean age of 24.4 years (SD = 1.74). They were asked to respond to questionnaires on language…

Mobile technologies provide opportunities for L2 learners to engage in complex interactions involving a multitude of cognitive, meta-cognitive, and affective factors. Understanding the process of learners' mobile language learning thus needs holistic approaches that integratively consider learner attributes and their interaction with mobile…

Human perceptions influence attitudes and intentions, and can predict actions. Despite the popular use of technology for English language teaching, and the association between learner factors and technology use, little is known about language learners' use of technology for personal and interpersonal learning activities, and whether there is a…

Adaptive and intelligent instructional systems are used to deal with the issue of learning personalisation in contexts where human instructors are not immediately available, so their role is transferred entirely or in part onto the computer. Even though such systems are mostly developed for well-defined domains that have a rather straightforward…

This study designed and developed a Chinese character handwriting diagnosis and remedial instruction (CHDRI) system to improve Chinese as a foreign language (CFL) learners' ability to write Chinese characters. The CFL learners were given two tests based on the CHDRI system. One test focused on Chinese character handwriting to diagnose the CFL…

This conceptual, interdisciplinary inquiry explores Complex Dynamic Systems as the concept relates to the internal and external environmental factors affecting computer assisted language learning (CALL). Based on the results obtained by de Rosnay ["World Futures: The Journal of General Evolution", 67(4/5), 304-315 (2011)], who observed…

Presents a model of a computer writing skill consisting of four stages of development: (1) writing easier; (2) writing more; (3) writing differently; and (4) writing better. This process represents the evolution of a natural computer-based writing approach under favorable conditions regarding the starting state of the user and a range of…